Demographics details for Falls city, NE vs Overland park, KS

Population Overview

Compare main population characteristics in Falls city, NE vs Overland park, KS.

Data Falls city Overland park
Population 4,052 197,726
Median Age 40.6 years 38.4 years
Median Income $40,222 $100,876
Married Families 38.0% 44.0%
Poverty Level 13% 6%
Unemployment Rate 3.5 3.3

Population Comparison: Falls city vs Overland park

  • The population in Overland park is higher at 197,726, compared to 4,052 in Falls city.
  • Residents in Falls city have a higher median age of 40.6 years compared to 38.4 years in Overland park.
  • Overland park has a higher median income of $100,876, compared to $40,222 in Falls city.
  • In Overland park, the percentage of married families is higher at 44.0%, compared to 38.0% in Falls city.
  • Falls city has a higher poverty level at 13% compared to 6% in Overland park.
  • The unemployment rate in Falls city is higher at 3.5%, compared to 3.3% in Overland park.

Demographics

Demographics Falls city vs Overland park provide insight into the diversity of the communities to compare.

Demographic Falls city Overland park
Black 1 5
White 91 74
Asian Data is updating 9
Hispanic Data is updating 7
Two or More Races 5 5
American Indian 3 Data is updating

Demographics Comparison: Falls city vs Overland park

  • In Overland park, the percentage of Black residents is higher at 5% compared to 1% in Falls city.
  • Falls city has a higher percentage of White residents at 91% compared to 74% in Overland park.
  • In Overland park, the Asian population stands at 9%, greater than 0% in Falls city.
  • Overland park has a higher percentage of Hispanic residents at 7%, compared to 0% in Falls city.
  • Both Falls city and Overland park have the same percentage of residents identifying as two or more races at 5%.
  • A greater percentage of American Indian residents live in Falls city at 3% compared to 0% in Overland park.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Falls city Overland park
Mental Health Not Good 14.9% 12.2%
Physical Health Not Good 10.9% 6.9%
Depression 17.2% 18.3%
Smoking 19.3% 9.6%
Binge Drinking 20.4% 19.7%
Obesity 43.9% 28.6%
Disability Percentage 14.0% 8.0%

Health Statistics Comparison: Falls city vs Overland park

  • More residents in Falls city report poor mental health at 14.9% compared to 12.2% in Overland park.
  • Higher depression rates are seen in Overland park at 18.3% versus 17.2% in Falls city.
  • Smoking is more prevalent in Falls city at 19.3% compared to 9.6% in Overland park.
  • Binge drinking is more common in Falls city at 20.4% compared to 19.7% in Overland park.
  • Obesity rates are higher in Falls city at 43.9% compared to 28.6% in Overland park.
  • Disability percentages are higher in Falls city at 14.0% compared to 8.0% in Overland park.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Falls city Overland park
No Schooling 0.0% (Data is updating) 0.5% (897)
High School Diploma 26.2% (1,063) 7.1% (13,953)
Less than High School 8.6% (349) 3.3% (6,590)
Bachelor's Degree and Higher 14.8% (598) 43.1% (85,152)

Education Levels Comparison: Falls city vs Overland park

  • In Overland park, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Falls city.
  • A higher percentage of residents in Falls city hold a high school diploma at 26.2% compared to 7.1% in Overland park.
  • More residents in Falls city have less than a high school education at 8.6% compared to 3.3% in Overland park.
  • In Overland park, a larger share of residents have a bachelor's degree or higher at 43.1% compared to 14.8% in Falls city.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.